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Interspeech 2021 Deep Noise Suppression Challenge

Interspeech 2021 Deep Noise Suppression Challenge

6 January 2021
Chandan K. A. Reddy
Harishchandra Dubey
K. Koishida
A. Nair
Vishak Gopal
Ross Cutler
Sebastian Braun
H. Gamper
R. Aichner
Sriram Srinivasan
    AI4CE
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Papers citing "Interspeech 2021 Deep Noise Suppression Challenge"

16 / 16 papers shown
Title
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation
Akam Rahimi
Triantafyllos Afouras
Andrew Zisserman
35
28
0
02 Jan 2025
SMRU: Split-and-Merge Recurrent-based UNet for Acoustic Echo Cancellation and Noise Suppression
SMRU: Split-and-Merge Recurrent-based UNet for Acoustic Echo Cancellation and Noise Suppression
Zhihang Sun
Andong Li
Rilin Chen
Hao Zhang
Meng Yu
Yi Zhou
Dong Yu
53
0
0
17 Jun 2024
Exploring the Interactions between Target Positive and Negative
  Information for Acoustic Echo Cancellation
Exploring the Interactions between Target Positive and Negative Information for Acoustic Echo Cancellation
Chang Han
Xinmeng Xu
Weiping Tu
Yuhong Yang
Yajie Liu
12
2
0
26 Jul 2023
A Mask Free Neural Network for Monaural Speech Enhancement
A Mask Free Neural Network for Monaural Speech Enhancement
Liangqi Liu
Haixing Guan
Jinlong Ma
Wei Dai
Guang-Yi Wang
Shaowei Ding
8
11
0
07 Jun 2023
Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN
Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN
Ziyi Xu
Ziyue Zhao
Tim Fingscheidt
12
4
0
18 Apr 2023
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method
  Using Variational Autoencoder and Adversarial Training
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
13
5
0
16 Nov 2022
SG-VAD: Stochastic Gates Based Speech Activity Detection
SG-VAD: Stochastic Gates Based Speech Activity Detection
Jonathan Svirsky
Ofir Lindenbaum
16
4
0
28 Oct 2022
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ
  Does, But ACR Listening Tests Don't
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't
Ziyi Xu
Maximilian Strake
Tim Fingscheidt
6
3
0
04 May 2022
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement
  Network (E3Net) and Knowledge Distillation
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation
Manthan Thakker
Sefik Emre Eskimez
Takuya Yoshioka
Huaming Wang
12
28
0
02 Apr 2022
MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data
MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data
George Close
Thomas Hain
Stefan Goetze
11
9
0
23 Mar 2022
FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for
  Speech Enhancement
FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement
Jun Chen
Z. Wang
Deyi Tuo
Zhiyong Wu
Shiyin Kang
H. Meng
11
107
0
23 Mar 2022
Uformer: A Unet based dilated complex & real dual-path conformer network
  for simultaneous speech enhancement and dereverberation
Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation
Yihui Fu
Yun Liu
Jingdong Li
Dawei Luo
Shubo Lv
Yukai Jv
Lei Xie
8
47
0
11 Nov 2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech
  Processing
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen
Chengyi Wang
Zhengyang Chen
Yu-Huan Wu
Shujie Liu
...
Yao Qian
Jian Wu
Micheal Zeng
Xiangzhan Yu
Furu Wei
SSL
13
1,688
0
26 Oct 2021
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in
  Speech Enhancement
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech Enhancement
Xavier Gitiaux
Aditya Khant
Ebrahim Beyrami
Chandan K. A. Reddy
J. Gupchup
Ross Cutler
8
0
0
08 Oct 2021
DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric
  to Evaluate Noise Suppressors
DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors
Chandan K. A. Reddy
Vishak Gopal
Ross Cutler
15
191
0
05 Oct 2021
A scalable noisy speech dataset and online subjective test framework
A scalable noisy speech dataset and online subjective test framework
Chandan K. A. Reddy
Ebrahim Beyrami
Jamie Pool
Ross Cutler
Sriram Srinivasan
J. Gehrke
62
141
0
17 Sep 2019
1